Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

bimanual_blue_block_handover_2

This dataset is a TsFile conversion of the LeRobot dataset Batonchegg/bimanual_blue_block_handover_2. The original dataset was created using LeRobot and is licensed under Apache 2.0.

Modalities: Time-series. The converted repository stores numeric robot frame data in Apache TsFile format. Source videos remain in the original Hugging Face dataset under its videos/ tree: https://huggingface.co/datasets/Batonchegg/bimanual_blue_block_handover_2/tree/main/videos

Dataset Scale

  • Source robot type: bi_so101_follower
  • Episodes: 30
  • Frames / TsFile rows: 18,613
  • Tasks: 1
  • Source videos: 90, not mirrored in this repository
  • Sampling rate: 30 FPS
  • Output file: data/bimanual_blue_block_handover_2.tsfile
  • TsFile table: bimanual_blue_block_handover_2

Schema

Time is an INT64 millisecond timestamp synthesized from the source timestamp column as round(timestamp * 1000). Time restarts per episode.

TAG columns:

  • episode_index
  • task_index

FIELD columns:

  • frame_index
  • sample_index, renamed from source index
  • action_0 through action_11, flattened from source action
  • observation_state_0 through observation_state_11, flattened from source observation.state

Conversion Notes

The source timestamp column is dropped because it is represented by TsFile Time in milliseconds and equals Time / 1000 seconds. frame_index is kept.

Vector columns preserve the full source feature name with . replaced by _ and the element index appended. Values are stored as single-precision FLOAT.

The source video features observation.images.wrist_right, observation.images.wrist_left, and observation.images.realsense_top are not converted to TsFile and are not uploaded here. The converted meta/info.json keeps the original video path and records the TsFile conversion metadata.

Files

  • data/bimanual_blue_block_handover_2.tsfile: converted numeric frame data
  • meta/info.json: converted metadata with TsFile schema roles and conversion notes
  • meta/episodes.jsonl, meta/episodes_stats.jsonl, meta/tasks.jsonl: source metadata mirrored from the original dataset

Read Example

# Read with the Apache TsFile Java/Python SDK.
tsfile_path = "data/bimanual_blue_block_handover_2.tsfile"
table_name = "bimanual_blue_block_handover_2"
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